Triple

T17642228
Position Surface form Disambiguated ID Type / Status
Subject Rayleigh railway station E429260 entity
Predicate stationCode P1289 FINISHED
Object RLG
RLG is the National Rail station code for Rayleigh railway station in Essex, England.
 E1278852 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RLG | Statement: [Rayleigh railway station, stationCode, RLG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RLG
Context triple: [Rayleigh railway station, stationCode, RLG]
  • A. RLG
    RLG is the data vendor code used to identify the Russell 1000 Growth Index, a major U.S. equity benchmark focused on large-cap growth stocks.
  • B. RLG
    RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. RLD
    RLD is an Indian political party, primarily influential in the state of Uttar Pradesh, known for representing agrarian and rural interests.
  • E. RLU
    RLU is the ICAO airline designator assigned to the Russian regional carrier RusLine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RLG
Triple: [Rayleigh railway station, stationCode, RLG]
Generated description
RLG is the National Rail station code for Rayleigh railway station in Essex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RLG
Target entity description: RLG is the National Rail station code for Rayleigh railway station in Essex, England.
  • A. RLG
    RLG is the data vendor code used to identify the Russell 1000 Growth Index, a major U.S. equity benchmark focused on large-cap growth stocks.
  • B. RLG
    RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
  • C. RGL
    RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • D. RLD
    RLD is an Indian political party, primarily influential in the state of Uttar Pradesh, known for representing agrarian and rural interests.
  • E. RLU
    RLU is the ICAO airline designator assigned to the Russian regional carrier RusLine.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de645208190a40dcf443f8afd82 completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020aa7be948190bf0ab64a2908d3b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b51c208819083b1634221929628 completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bd466d881909ffdfe3cf932b980 completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 6:03 a.m.